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Regularized Radial Basis Function Networks
- Theory and Applications
- Binding:
- Hardback
- Pages:
- 208
- Published:
- April 23, 2001
- Dimensions:
- 161x239x19 mm.
- Weight:
- 481 g.
Delivery:
2-4 weeks
Expected delivery: January 25, 2025
Extended return policy to January 30, 2025
Description of Regularized Radial Basis Function Networks
This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control.
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